Atmospheric Dynamics of Hot Exoplanets

TL;DR

This review discusses the current state and future prospects of understanding atmospheric dynamics in hot exoplanets, emphasizing observational techniques, challenges like cloud modeling, and the importance of multi-wavelength data for advancing the field.

Contribution

It synthesizes recent observational findings, reviews current theoretical models, and outlines future research directions for atmospheric dynamics in hot exoplanets, especially hot Jupiters.

Findings

Astronomical techniques now measure atmospheric properties like wind speeds and temperature profiles.

Cloud properties significantly influence spectral interpretation and are affected by atmospheric dynamics.

Future data will enable rigorous testing of models and improve understanding of exoplanet atmospheres.

Abstract

The characterization of exoplanetary atmospheres has come of age in the last decade, as astronomical techniques now allow for albedos, chemical abundances, temperature profiles and maps, rotation periods and even wind speeds to be measured. Atmospheric dynamics sets the background state of density, temperature and velocity that determines or influences the spectral and temporal appearance of an exoplanetary atmosphere. Hot exoplanets are most amenable to these characterization techniques; in the present review, we focus on highly-irradiated, large exoplanets (the "hot Jupiters"), as astronomical data begin to confront theoretical questions. We summarize the basic atmospheric quantities inferred from the astronomical observations. We review the state of the art by addressing a series of current questions and look towards the future by considering a separate set of exploratory questions. Attaining the next level of understanding will require a concerted effort of constructing multi-faceted, multi-wavelength datasets for benchmark objects. Understanding clouds presents a formidable obstacle, as they introduce degeneracies into the interpretation of spectra, yet their properties and existence are directly influenced by atmospheric dynamics. Confronting general circulation models with these multi-faceted, multi-wavelength datasets will help us understand these and other degeneracies. The coming decade will witness a decisive confrontation of theory and simulation by the next generation of astronomical data.